🧠
skills model by NVIDIA
⭐ 63.7
🧠
Model

skills

by NVIDIA nvidia/skills
Free2AITools Nexus Index
63.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 59
P: Popularity 63
R: Recency 100
Q: Quality 70
Tech Context
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 63.7 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID nvidia/skills
License Apache-2.0
Provider github
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{nvidia_skills,
  author = {NVIDIA},
  title = {skills Model},
  year = {2026},
  howpublished = {\url{https://github.com/NVIDIA/skills}},
  note = {Accessed via Free2AITools.}
}
APA Style
NVIDIA. (2026). skills [Model]. Free2AITools. https://github.com/NVIDIA/skills

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ Git Clone
git clone https://github.com/NVIDIA/skills

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 59
Popularity (P) 63
Recency (R) 100
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for skills: Authority (A:59), Popularity (P:63), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

NVIDIA Agent Skills

Official, NVIDIA-verified Agent Skills for Claude Code, Codex, and other coding agents.

NVIDIA Agent Skills Spec License

πŸ“– Docs: docs.nvidia.com/skills  Β·  πŸ“Ί Livestream: From Vulnerable to Verified  Β·  πŸ“ Blog: NVIDIA Verified Agent Skills: Capability Governance for AI Agents

Skills are portable instruction sets that teach AI agents how to use NVIDIA software optimally: Physical AI and robotics workflows, simulation, CUDA-X libraries, RAG and AI Blueprints, and platform tools. This repository is a catalog: skills are maintained in their respective product repos, and mirrored here daily via an automated sync pipeline. Skills are being added continuously, so check back for updates. We are building this infrastructure in the open, and contributions are welcome. See the Roadmap for what is planned next.

Quickstart

Install NVIDIA skills with the default skills CLI flow:

bash 
npx skills add nvidia/skills

The CLI runs through npx and prompts you to choose a skill and install destination. You do not need to clone this repo or copy skill folders by hand.

Requires a current skills CLI (v1.5.16 or newer). Installing via npx skills@latest add nvidia/skills always uses the latest. On older CLIs (v1.5.15 a

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

GitHub Repository
2.6KStars
297Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-model--nvidia--skills
slug
nvidia--skills
source
github
author
NVIDIA
license
Apache-2.0
tags
agent-skills, agentic-ai, ai-agents, claude-code, codex, coding-agents, cuda, developer-tools, llm, omniverse, physical-ai, rag, robotics, simulation, python

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
0
stars
2,647
forks
297

Data indexed from public sources. Updated daily.